{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "# Set up seaborn dark grid\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "statistics_df = pd.read_csv('UKStatistics.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Post Unique Reference</th>\n",
       "      <th>Name</th>\n",
       "      <th>Grade (or equivalent)</th>\n",
       "      <th>Job Title</th>\n",
       "      <th>Job/Team Function</th>\n",
       "      <th>Parent Department</th>\n",
       "      <th>Organisation</th>\n",
       "      <th>Unit</th>\n",
       "      <th>Contact Phone</th>\n",
       "      <th>Contact E-mail</th>\n",
       "      <th>Reports to Senior Post</th>\n",
       "      <th>Salary Cost of Reports (£)</th>\n",
       "      <th>FTE</th>\n",
       "      <th>Actual Pay Floor (£)</th>\n",
       "      <th>Actual Pay Ceiling (£)</th>\n",
       "      <th>Unnamed: 15</th>\n",
       "      <th>Professional/Occupational Group</th>\n",
       "      <th>Notes</th>\n",
       "      <th>Valid?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>John Pullinger</td>\n",
       "      <td>SCS4</td>\n",
       "      <td>Permanent Secretary</td>\n",
       "      <td>National Statistician, Head of GSS</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>01633 455036</td>\n",
       "      <td>national.statistician@statistics.gsi.gov.uk</td>\n",
       "      <td>Board</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>150000</td>\n",
       "      <td>154999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Statisticians</td>\n",
       "      <td>The National Statistician is the Permanent Sec...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Glen Watson</td>\n",
       "      <td>SCS3</td>\n",
       "      <td>Director General</td>\n",
       "      <td>Head Of ONS</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>Office For National Statistics</td>\n",
       "      <td>0845 601 3034</td>\n",
       "      <td>info@statistics.gov.uk</td>\n",
       "      <td>1</td>\n",
       "      <td>322572</td>\n",
       "      <td>1.0</td>\n",
       "      <td>105000</td>\n",
       "      <td>109999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Statisticians</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>Nick Vaughan</td>\n",
       "      <td>SCS2</td>\n",
       "      <td>Director</td>\n",
       "      <td>Production of statistical outputs from Nationa...</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>National Accounts &amp; Ecomonic Statistics</td>\n",
       "      <td>0845 601 3034</td>\n",
       "      <td>info@statistics.gov.uk</td>\n",
       "      <td>2</td>\n",
       "      <td>2033352</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85000</td>\n",
       "      <td>89999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Statisticians</td>\n",
       "      <td>New to post replaces Caren Walker</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Ian Cope</td>\n",
       "      <td>SCS2</td>\n",
       "      <td>Director</td>\n",
       "      <td>Population and Demography</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>Population and Demography</td>\n",
       "      <td>0845 601 3034</td>\n",
       "      <td>info@statistics.gov.uk</td>\n",
       "      <td>2</td>\n",
       "      <td>1352600</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90000</td>\n",
       "      <td>94999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Statisticians</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>Guy Goodwin</td>\n",
       "      <td>SCS2</td>\n",
       "      <td>Director</td>\n",
       "      <td>Analysis and Dissemination</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>UK Statistics Authority</td>\n",
       "      <td>Analysis and Dissemination</td>\n",
       "      <td>0845 601 3034</td>\n",
       "      <td>info@statistics.gov.uk</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>85000</td>\n",
       "      <td>89999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Statisticians</td>\n",
       "      <td>Salary costs not disclosed - Less than 5 staff...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Post Unique Reference            Name Grade (or equivalent)  \\\n",
       "0                     1  John Pullinger                  SCS4   \n",
       "1                     2     Glen Watson                  SCS3   \n",
       "2                     4    Nick Vaughan                  SCS2   \n",
       "3                     5        Ian Cope                  SCS2   \n",
       "4                     6     Guy Goodwin                  SCS2   \n",
       "\n",
       "             Job Title                                  Job/Team Function  \\\n",
       "0  Permanent Secretary                 National Statistician, Head of GSS   \n",
       "1     Director General                                        Head Of ONS   \n",
       "2             Director  Production of statistical outputs from Nationa...   \n",
       "3             Director                          Population and Demography   \n",
       "4             Director                         Analysis and Dissemination   \n",
       "\n",
       "         Parent Department             Organisation  \\\n",
       "0  UK Statistics Authority  UK Statistics Authority   \n",
       "1  UK Statistics Authority  UK Statistics Authority   \n",
       "2  UK Statistics Authority  UK Statistics Authority   \n",
       "3  UK Statistics Authority  UK Statistics Authority   \n",
       "4  UK Statistics Authority  UK Statistics Authority   \n",
       "\n",
       "                                      Unit  Contact Phone  \\\n",
       "0                  UK Statistics Authority   01633 455036   \n",
       "1           Office For National Statistics  0845 601 3034   \n",
       "2  National Accounts & Ecomonic Statistics  0845 601 3034   \n",
       "3                Population and Demography  0845 601 3034   \n",
       "4               Analysis and Dissemination  0845 601 3034   \n",
       "\n",
       "                                Contact E-mail Reports to Senior Post  \\\n",
       "0  national.statistician@statistics.gsi.gov.uk                  Board   \n",
       "1                       info@statistics.gov.uk                      1   \n",
       "2                       info@statistics.gov.uk                      2   \n",
       "3                       info@statistics.gov.uk                      2   \n",
       "4                       info@statistics.gov.uk                      2   \n",
       "\n",
       "   Salary Cost of Reports (£)  FTE  Actual Pay Floor (£)  \\\n",
       "0                           0  1.0                150000   \n",
       "1                      322572  1.0                105000   \n",
       "2                     2033352  1.0                 85000   \n",
       "3                     1352600  1.0                 90000   \n",
       "4                           0  1.0                 85000   \n",
       "\n",
       "   Actual Pay Ceiling (£)  Unnamed: 15 Professional/Occupational Group  \\\n",
       "0                  154999          NaN                   Statisticians   \n",
       "1                  109999          NaN                   Statisticians   \n",
       "2                   89999          NaN                   Statisticians   \n",
       "3                   94999          NaN                   Statisticians   \n",
       "4                   89999          NaN                   Statisticians   \n",
       "\n",
       "                                               Notes  Valid?  \n",
       "0  The National Statistician is the Permanent Sec...       1  \n",
       "1                                                NaN       1  \n",
       "2                  New to post replaces Caren Walker       1  \n",
       "3                                                NaN       1  \n",
       "4  Salary costs not disclosed - Less than 5 staff...       1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statistics_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(51, 19)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statistics_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(statistics_df['Actual Pay Floor (£)'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = statistics_df['Salary Cost of Reports (£)']\n",
    "y = statistics_df['Actual Pay Floor (£)']\n",
    "plt.scatter(x, y) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = statistics_df['Salary Cost of Reports (£)']\n",
    "y = statistics_df['Actual Pay Floor (£)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.violinplot(x)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(x)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
